Expert Data Engineer for Scalable Machine Learning Pipelines
2 weeks ago
Adevinta 2021 is seeking a highly experienced Expert Data Engineer to lead the development of our scalable machine learning pipelines.
About the Role:
We are looking for a seasoned data engineer with expertise in designing and producing large-scale distributed systems built around machine-learned models and big data. The successful candidate will have a strong background in Java/Scala and Python programming languages, experience with batch and streaming technologies, and expertise with distributed data stores and messaging systems.
Your Key Responsibilities:
- Design and produce end-to-end solutions that solve complex problems using machine learning and big data technologies
- Define, plan, and implement large-scale projects to drive business growth and improve customer experiences
- Collaborate with cross-functional teams to steer the target architecture and identify areas of critical need based on future growth
- Mentor less experienced engineers to ensure their success and contribute to department-wide tech projects
- Pick the right balance between quality and speed of delivery to meet business objectives
About You:
- 10+ years of relevant industry experience with 3+ years of data and machine learning related work or research is a must for this position
- Expertise in Java/Scala and Python programming languages, as well as experience with Linux, Docker, and public cloud platforms (GCP, AWS, Azure)
- Experience designing and producing large-scale distributed systems built around machine-learned models and big data, including expertise with batch and streaming technologies and distributed data stores and messaging systems
What We Offer:
- $140,000 - $170,000 per year, depending on experience
- The opportunity to work with a talented team of engineers and contribute to the development of cutting-edge technology
- A comprehensive benefits package, including health insurance, retirement savings plan, and paid time off
- Professional development opportunities to help you grow your skills and advance your career
Location: Downtown Toronto
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